pandas.HDFStore.append¶
-
HDFStore.
append
(key, value, format=None, append=True, columns=None, dropna=None, **kwargs)[source]¶ Append to Table in file. Node must already exist and be Table format.
Parameters: - key : object
- value : {Series, DataFrame, Panel}
format: ‘table’ is the default
- table(t) : table format
Write as a PyTables Table structure which may perform worse but allow more flexible operations like searching / selecting subsets of the data
append : boolean, default True, append the input data to the
existing
data_columns : list of columns, or True, default None
List of columns to create as indexed data columns for on-disk queries, or True to use all columns. By default only the axes of the object are indexed. See here.
- min_itemsize : dict of columns that specify minimum string sizes
- nan_rep : string to use as string nan represenation
- chunksize : size to chunk the writing
- expectedrows : expected TOTAL row size of this table
- encoding : default None, provide an encoding for strings
dropna : boolean, default False, do not write an ALL nan row to
the store settable by the option ‘io.hdf.dropna_table’
Notes
Does not check if data being appended overlaps with existing data in the table, so be careful